ANN: Adversarial News Net for Robust Fake News Classification
3 Articles
3 Articles
ANN: adversarial news net for robust fake news classification
With easy access to social media platforms, spreading fake news has become a growing concern today. Classifying fake news is essential, as it can help prevent its negative impact on individuals and society. In this regard, an end-to-end framework for fake news detection is developed by utilizing the power of adversarial training to make the model more robust and resilient. The framework is named "ANN: Adversarial News Net," emoticons have been e…
Trump, Assiding and Fake News
The President of the United States of America urges countries of Latin America to distance themselves from development projects led by China in the region When Colombia confirmed its accession to the Chinese New Route initiative, an American State Department office threatened, in a note published by social network X, to punish the country and other Latin-Americans who followed and intend to follow the same path if they “strongly” opposed the rel…
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